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get_research_workspace

Read the caller saved research, folders, private notes, tool history, publisher/ad monitors and in-app change notifications. Free; 0 credits. Account ownership comes from the authenticated key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden, and it does disclose two genuinely useful traits beyond structured fields: the call is free (0 credits) and account scoping comes from the authenticated key (so no account parameter is needed). However, it says nothing about the shape of the returned data, pagination, or whether the read is cached/live, which matters since there is no output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences, front-loaded with the action and the returned resources, followed by cost and auth context. The resource list is long but every item is informative rather than filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter read tool with no annotations and no output schema, the description does the important work: it enumerates what data comes back (standing in for the missing return schema) and clarifies cost and auth scoping. Only the response structure/paging details are left open, which is a minor gap at this complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the baseline is 4; there is no parameter surface for the description to explain or for the schema to leave undocumented. The note that account ownership derives from the authenticated key correctly signals that no scope argument exists.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb ('Read') and then enumerates the exact resources returned: saved research, folders, private notes, tool history, publisher/ad monitors, and in-app notifications. That is far more specific than a tautology, though it never names a sibling (e.g. manage_research or save_research) to distinguish itself from adjacent tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance and no routing to alternatives; an agent must infer from 'Read the caller saved research' that this is the workspace-overview tool rather than one of the many lookup_/compare_/manage_research siblings. No prerequisites or exclusions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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